AI Engineer

6 days ago


Anantapur, Andhra Pradesh, India beBeeDeveloper Full time ₹ 9,00,000 - ₹ 12,00,000

Transform the Future of AI Applications with Us

We are a cutting-edge product studio with a strong engineering presence, developing innovative products that scale.

Our team is agile and forward-thinking, always pushing the boundaries of software development to empower people and businesses.

Job Description:

As an experienced AI Applications Developer, you will play a vital role in translating raw model capability into efficient, reliable, and user-friendly features.

Key Responsibilities:

  • Design and develop MCP servers and agentic clients to handle user intent parsing, tool orchestration, and structured response generation.
  • Architect efficient RAG pipelines with chunk decay, latency budgeting, and cost-aware vector search.
  • Automate evaluation pipelines to test LLM outputs for relevance, accuracy, and coherence.
  • Collaborate closely with DevOps to codify and deploy infrastructure using CDK or Terraform.
  • Set up observability dashboards for prompt performance, latency, and failure traceability.
Requirements:

To be successful in this role, you will need:

  • 5–8 years of full-stack or backend development experience, with at least 1 year building AI-powered or LLM-based applications.
  • Ai-native mindset: fast-paced testing, deep tracing, and reframing when necessary.
  • Strong Python and TypeScript skills.
  • Experience with either AWS or GCP stacks, such as Lambda, Bedrock, DynamoDB, OpenSearch Vector Search, or Cloud Functions, Vertex AI, Firestore, BigQuery, Vector Search.
  • Familiarity with LangChain, Bedrock SDK, and vector database schema design.
  • Understanding of prompt design, embeddings, and agentic workflows.
  • CI/CD fluencyGitHub Actions, containerized deployment, test-first habits.
  • Experience with LLM evaluation tools like Promptfoo, LangSmith, or Guardrails.
Benefits:

By joining our team, you can expect:

  • Opportunities to work on products that scale to global audiences.
  • Participation in ai-native product development, integrating AI tools into how we design, build, and ship.
  • Global exposure through direct collaboration with US-based startups, VCs, and product teams.
  • A learning environment where small, elite teams enable high ownership and zero bureaucracy.
  • The ability to see your impact every day, shaping user experience and business outcomes.
Others:

At our organization, inclusion matters. We celebrate diversity and are committed to creating an inclusive environment for all team members.


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