Top Artificial Intelligence Jobs in Hyderabad

Build and manage enterprise accounts in India, generate pipeline, identify new business opportunities, negotiate and close contracts, and drive account expansion. The role targets customer experience, support, and BPO organizations, requiring CXO-level selling, value-based technology sales, onboarding ownership, account farming, industry insight, sales initiatives, KPI tracking, and compelling presentations and demos.

Design, build, and operate production-grade autonomous AI systems and multi-agent workflows. Develop agentic capabilities using OpenAI, Google Gemini, and Perplexity; implement orchestration, reflection, planning, evaluation, observability, and human-in-the-loop controls. Deploy scalable serverless services with Python and AWS, integrate with .NET systems, manage reliability and cost constraints, and create testing frameworks to monitor and improve agent quality.

Own product marketing, content strategy, brand storytelling, positioning, and organic growth for an early-stage AI and life sciences company. Develop narratives, campaigns, launch materials, customer stories, visual content, and distribution strategies. Collaborate with founders, product, engineering, design, sales, and customer-facing teams to translate complex technology into compelling market-facing content and drive brand awareness, qualified inbound interest, and pipeline influence.

Seeking senior software engineers with proven expertise in at least one technical area, including AI/ML, LLMs, data, full-stack or backend development, automation, cloud infrastructure, and DevOps. Responsibilities include solving complex problems independently, collaborating across technologies, and delivering production-quality projects in a startup environment. Engagements may be project-based or ongoing.

Develop Generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source LLMs, work with AI frameworks and vector databases, and support AWS deployment. Responsibilities also include prompt engineering, testing, debugging, performance optimization, and writing production-ready code while collaborating with software and product teams.

Review, verify, approve, reject, and audit AI marketplace listings for accuracy, authenticity, completeness, regulatory compliance, and U.S. English quality. Validate product details and supporting claims, maintain moderation records and approval evidence, escalate unverifiable information, and collaborate with product, engineering, and AI teams to improve automated content validation workflows.

Own product instrumentation, event taxonomy, metrics, data pipelines, dashboards, experimentation, and predictive modeling. Build analytics for product and marketing decisions, then develop and deploy customer-facing LLM features and secure data-connected agents using retrieval, tool calling, and agent frameworks. Partner with engineering, marketing, product, and leadership to establish Quin’s data and AI foundations across IoT and safety products.

Leads product roadmap strategy, cross-functional project execution, quality management, incident resolution, workflow design, process optimization, and team development. Oversees product lifecycle activities from requirements and prototyping through testing, user acceptance, and deployment. Builds scalable product development operations, manages stakeholders and escalations, mentors team members, and promotes accountability, automation, and continuous improvement.

Three-month unpaid, work-from-office social media training and internship covering self-video creation, AI-assisted video editing, podcasting basics, social media growth techniques, and content production. The schedule is Monday through Saturday, 10 a.m. to 7 p.m., in Basheerbagh.

Advise clients on AI strategy, identify and prioritize use cases, create implementation roadmaps, and guide scalable AI solution delivery. Collaborate with product owners, data scientists, engineers, and business stakeholders while advising on technologies and architectures. Ensure initiatives achieve measurable business outcomes and comply with technical quality, governance, data privacy, ethics, and responsible AI standards.

Three-month unpaid digital marketing internship preceded by free training. Participants will gain practical experience in SEO, social media marketing, affiliate marketing, AI-assisted content creation, Canva and AI design tools, video creation and editing, content writing, analytics, and reporting. The role is work-from-office Monday through Saturday, requires a personal laptop, and may lead to a full-time offer based on performance.

Design and build Meeru AI’s deterministic intelligence engine and conversational AI agent layer for audited financial workflows. Architect grounded, traceable systems using RAG, tool-using agents, structured outputs, verification, human-in-the-loop controls, and automated evaluations. Lead technical direction, mentor engineers, conduct design reviews, and develop production Python services with database and cloud deployment integrations across AWS, Azure, GCP, and on-premises environments.

Manages IT service management processes, governance, policies, procedures, and continuous improvement. Leads cross-functional teams, oversees service operations, analyzes metrics and reports, and communicates major incidents and service health to executives and stakeholders. The role requires expertise in ITIL, cloud technologies, ServiceNow or similar platforms, enterprise technology architecture, process governance, and automation opportunities. It also involves building effective relationships across multicultural, multi-vendor, and geographically distributed teams.

Lead Alpaca’s global Trading API customer experience organization, including General and VIP Support. Build a follow-the-sun coverage model, establish service standards and KPIs, improve support through data, AI, automation, and self-service, and develop high-performing teams. Partner with Product, Engineering, Trading, Operations, Compliance, and Sales to resolve recurring issues, improve customer workflows, and support institutional trading customers.

Own and lead the company’s end-to-end legal function, including drafting and negotiating commercial agreements, advising on contractual risks, managing vendors and external counsel, supporting employment and equity matters, and handling fundraising, governance, IP, privacy, compliance, and regulatory issues. The role requires strong US commercial contract expertise and experience supporting US-based companies, ideally in pharma, life sciences, or healthcare.

Own the AI intelligence layer for a finance platform, building production machine-learning models, LLM and agentic systems, RAG workflows, evaluation frameworks, and grounding guardrails. Develop per-customer models with strict anti-leakage practices, deploy containerized services across customer cloud environments, and ensure outputs are traceable to verified data. Provide technical direction, mentor engineers, and collaborate across backend, data, product, and evaluation teams.

Investigate escalated production incidents (DB anomalies, failed payments, data migrations), write post-mortems and runbooks, and build AI-powered automation (LLM diagnostics, agents) plus developer tooling. Maintain CI/CD, GCP infrastructure, container deployments, observability, and partner on ERP and payment provider integrations.

Leads architecture for modernizing a legacy billing application with AI-assisted development and migrating it to Azure. Responsibilities include completing an AI agent for extracting usage data from documents, designing secure Azure infrastructure, reviewing generated code, planning migration and integration testing, supporting UAT and production deployment, managing parallel production, and documenting architecture and runbooks. Requires strong stakeholder communication and collaboration with onsite and offshore teams.

Develop Generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and automation workflows. Build Python backend services and REST APIs using modern frameworks, integrate commercial and open-source LLMs, and support AWS deployments. Responsibilities include prompt engineering, testing, debugging, optimization, database and vector integration, and collaboration with engineering and product teams. The role is open to fresh graduates and candidates with up to three years of experience.

Design and scale cloud and Kubernetes infrastructure, distributed systems, CI/CD, observability, and deployment tooling. Build production-grade AI agents for infrastructure and engineering workflows, including tool use, evaluation, permissions, guardrails, and failure handling. Improve reliability, performance, and cloud efficiency; troubleshoot across application and infrastructure layers; mentor engineers; document architecture; and participate in on-call operations.

Three-month unpaid digital marketing internship involving practical work in SEO, social media marketing, affiliate marketing, AI-assisted content creation, Canva design, video editing, content writing, analytics, and reporting. Interns receive mentorship, training, real-project experience, and a completion certificate. High-performing participants may be considered for paid full-time employment.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Build production AI systems for finance teams, including per-customer anomaly detection models, grounded natural-language generation, agentic workflows, and managed LLM integrations. Develop Python services with SQL and warehouse access in containerized customer deployments. Establish rigorous evaluation, anti-leakage, hallucination, grounding, and faithfulness controls, incorporate human confirmation checkpoints, and convert user feedback into durable model and system improvements.

Lead the architecture, development, and delivery of distributed workflow-orchestration and production AI solutions. Build AI agents, LLM applications, durable workflows, integrations, and evaluation pipelines while applying distributed-systems, Saga, observability, MLOps, and LLMOps practices. Lead client workshops, translate requirements into architectures and delivery plans, manage technical workstreams, conduct reviews, mentor engineers, and establish reusable engineering standards and capability-center assets.

Develop generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source language models, use AI development frameworks, support AWS deployment, and perform prompt engineering, testing, debugging, and optimization. Collaborate with engineering and product teams to deliver maintainable, production-ready AI software.