Navitas Business Consulting
26-2249: Conversational AI Developer - Hyderabad, India
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Develop scalable chatbots and virtual assistants using conversational AI technologies, integrate NLP/NLU, and collaborate across teams. Optimize performance through testing and user interaction analysis, while following Microsoft Foundry methodologies.
Conversational AI Developer / Chatbot Developer- Microsoft Foundry
Job ID#: 26-2249
Location: Hyderabad, India
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What we Need:
We are seeking a skilled Conversational AI Developer to design, build, and optimize intelligent chatbot and virtual assistant solutions. In this role you will bridge the gap between cutting-edge large language model (LLM) capabilities and real-world business applications, delivering seamless, human-like interactions across multiple platforms and channels.
Required Qualifications
Education & Experience
Preferred Qualifications
Core Competencies
Job ID#: 26-2249
Location: Hyderabad, India
Who We Are:
Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.
What We Do:
At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.
What we Need:
We are seeking a skilled Conversational AI Developer to design, build, and optimize intelligent chatbot and virtual assistant solutions. In this role you will bridge the gap between cutting-edge large language model (LLM) capabilities and real-world business applications, delivering seamless, human-like interactions across multiple platforms and channels.
Key Responsibilities
Design & Development
- Architect and develop conversational AI solutions using frameworks such as Lang Chain, Rasa, Dialog flow, Amazon Lex, or Azure Bot Services.
- Design and implement multi-turn dialogue flows, context management, and state tracking for complex conversational scenarios.
- Integrate large language models (GPT-4, Claude, Llama, Gemini) via APIs and fine-tune prompt engineering strategies for optimal performance.
- Build, test, and deploy chatbots across channels including web, mobile, Slack, Microsoft Teams, WhatsApp, and voice platforms.
- Develop and maintain intent classification, entity recognition (NER), and dialogue management pipelines.
- Apply RAG (Retrieval-Augmented Generation) patterns and vector database integrations (Pinecone, Weaviate, Chroma DB) to ground LLM responses in enterprise knowledge.
- Implement guardrails, content moderation, and safety layers to ensure compliant and on-brand AI responses.
- Continuously evaluate and improve model accuracy, latency, hallucination rates, and user satisfaction metrics.
- Integration & Deployment
- Integrate chatbot solutions with enterprise systems including CRMs, ERPs, ticketing platforms, and internal knowledge bases via RESTful APIs and webhooks.
- Deploy and manage chatbot infrastructure on cloud platforms (AWS, Azure, GCP) using containerization (Docker/Kubernetes).
- Implement CI/CD pipelines for automated testing and deployment of conversational AI updates.
- Analytics & Optimization
- Monitor and analyze conversation logs, session metrics, fallback rates, and user feedback to drive iterative improvements.
- Collaborate with UX and product teams to design intuitive conversational experiences aligned with user needs.
- Produce clear technical documentation, runbooks, and training materials for stakeholders.
Required Qualifications
Education & Experience
- Bachelor’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field; master’s preferred.
- 3+ years of experience developing and deploying production-grade chatbot or conversational AI solutions.
- Demonstrable portfolio of conversational AI projects with measurable business outcomes.
- Proficiency in Python; experience with JavaScript/Node.js a plus.
- Hands-on experience with NLP libraries: spaCy, Hugging Face Transformers, NLTK, or similar.
- Expertise in at least one conversational AI platform: Dialog flow CX, Rasa Pro, Amazon Lex, or Azure Bot Framework.
- Hands-on experience with Microsoft Azure AI Foundry (formerly Azure AI Studio) includes model deployment, prompt flow authoring, and AI hub project management.
- Experience with LLM orchestration frameworks: Lang Chain, Llama Index, Semantic Kernel.
- Familiarity with vector databases and embedding models for semantic search and RAG architectures.
- Working knowledge of cloud services (AWS Lambda, Azure Functions, GCP Cloud Run) and containerization.
Preferred Qualifications
- Experience with voice AI platforms (Amazon Alexa, Google Assistant, Nuance, or Twilio Voice).
- Microsoft Certified: Azure AI Engineer Associate or equivalent Azure AI Foundry certification.
- Knowledge of RLHF (Reinforcement Learning from Human Feedback) and model fine-tuning techniques.
- Familiarity with observability tools: Lang Smith, Weights & Biases, or Arize AI.
- Understanding of GDPR, CCPA, and AI ethics frameworks applicable to conversational systems.
Core Competencies
- Strong problem-solving and systems-thinking skills with attention to edge cases.
- Excellent communication skills to translate AI concepts for non-technical stakeholders.
- Collaborative mindset with ability to work cross-functionally with product, design, and data teams.
- Self-motivated learner who stays current with the rapidly evolving AI landscape.
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