Trilyon, Inc. logo

Gen AI Engineer (LLM Integration) - CONTRACT

5 years

0 Lacs

greater bengaluru area

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

ai integration design microservices aws gcp openai engineering support orchestration react data flow api authentication logging monitoring architecture prototype metrics security python development docker fastapi rest git communication opentelemetry ml

Work Mode

On-site

Job Type

Full Time

Job Description

AI Engineer


Location:


Type:


Role Responsibilities:

  • Design, build, and maintain generative AI workflows and agent systems using Python
  • Develop and deploy containerized microservices on cloud platforms (AWS, GCP, Azure)
  • Integrate with LLMs via APIs (OpenAI, Claude, Gemini) and implement prompt engineering best practices
  • Build and support agent orchestration tools (LangChain, ReAct, CrewAI, or similar)
  • Manage data flow through vector stores (ChromaDB, Pinecone) and support RAG pipelines
  • Implement and manage API proxies, session handling, and authentication (JWT)
  • Set up observability tools (logging, tracing, monitoring) for AI workflows and agents
  • Collaborate asynchronously with cross-functional teams and document architecture decisions
  • Prototype quickly and iterate using metrics, logs, and user feedback
  • Apply security best practices to LLM integration


Required Skills & Experience:

  • 3–5+ years of Python development, including async and modular design patterns
  • Hands-on experience with container tools (Docker/Podman) and cloud deployments
  • Familiarity with API design, FastAPI, REST, and WebSocket integration
  • Experience with at least one LLM orchestration/agent framework (LangChain, AutoGen, OpenAgents)
  • Strong understanding of prompt/response logging, token usage, and cost tracking
  • Proficiency with version control (Git) and CI/CD workflows
  • Excellent written communication and comfort working in distributed teams


Nice-to-Have:

  • Experience with OpenTelemetry, LangSmith, or LLM eval frameworks
  • Familiarity with security concerns in GenAI environments
  • Prior work integrating enterprise systems or external APIs
  • Background in NLP, ML, or cognitive architectures


AI, LLMs, and building next-gen intelligent systems

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