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Gen AI Developer
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- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
Role: Gen AI Developer
Experience: 1–6 Years
Location: Remote/HYD/BLR/Chennai
Notice Period: maximum 30 days
Educational Criteria:
Looking B.Tech graduates only from NIT/IIT with degrees in the following disciplines:
- Computer Science & Engineering (CSE)
- Electronics & Communication Engineering (ECE)
- Mathematics and Computing
- Computer Science & Business System
- Artificial Intelligence and Machine learning
- Robotics and Automation Engineering
- Artificial Intelligence and Data science
- Information Technology (IT)
Skills
- End-to-end delivery of Gen AI solutions inside a client engagement — from discovery to production
- Architecture decisions on document pipelines, agent systems, RAG infrastructure, copilots, and operational AI
- Hardening LLM features: evals, prompt versioning, cost & latency optimization, observability, guardrails
- Stakeholder management — translating client problems into technical scope, and technical realities back into business language
We are Looking Skills
- 2–5 years of software engineering experience with at least one product/major feature shipped to real users
- Strong Python plus one of TypeScript / Go / Java
- Comfortable working across the stack when required
- Proven production GenAI/LLM experience — not just POCs or demos
- Experience with LLM cost, latency, prompt versioning and evaluation (evals)
- Strong understanding of system design and distributed systems
- Hands-on experience with vector databases such as Pinecone, Weaviate or pgvector
- Cloud experience with AWS / Azure / GCP
- Comfortable working directly with PMs, stakeholders or clients
- At least one 0-to-1 project owned end-to-end
- Experience using Claude Code, Cursor, GitHub Copilot, Windsurf or similar GenAI coding tools, with the ability to critically review AI-generated code
Preferred
- Built or contributed to internal tooling/platforms used by other engineers
- Vertical domain depth — BFSI, healthcare, telecom, retail, or insurance
- Eval frameworks experience (Braintrust, LangSmith, internal eval pipelines)
- Experience with MCP servers, agent frameworks, multi-agent orchestration
- Have broken production at least once on an architectural choice — and can articulate the lesson
More Info
Key Skills
System design and distributed systems
and operational AI
copilots
End-to-end delivery of Gen AI solutions
Architecture decisions on document pipelines
agent systems
Production GenAI LLM experience
RAG infrastructure
About Company
Skills:
Cloud platforms (AWS), Networking, Databases, Git, Memory Management, Linux, System Design, RESTful API development, Python, Multi-threading, Building data pipelines, AI and ML concepts, Vector databases, Hugging Face, Performance aspects of common classes and algorithms, Prompt engineering techniques, LLM APIs, GenAI solutions, Embedding models, CI/CD, LLM frameworks, RAG technologies, I/O concepts
Skills:
Python, Sql, Cloud Storage, Typescript, React, AWS, Docker, Rest Api, Google Cloud Platform, Cloud Run, Firestore, Fast API, Big Query
Skills:
Api Development, Node.js, Sql, Nosql, Typescript, Gcp, Docker, Postgres, Azure, Python, Kubernetes, AWS, DevOps practices, RESTful principles, Server-side caching mechanisms, Microservices architecture, Data processing pipelines, CI/CD pipelines, Agentic AI MCP and agent orchestrations
Skills:
Microservices, AWS, FastAPI, Python, prompt engineering, LLMs, RAG architecture, vector databases, Amazon Bedrock, embeddings, semantic search, Generative AI, LangGraph
Skills:
Apis, Microservices, FastAPI, Python, AWS, Generative AI, RAG architecture, LLMs, vector databases, prompt engineering, LangGraph, Amazon Bedrock, semantic search