About the role
structured by ORIRole: 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…
What you will do
- 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
What they are looking for
- 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 Automat
- 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
Nice to have
- 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
Full posting text
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
Seniority level: Entry level
Employment type: Full-time
Industries: Technology, Information and Media, Information Services, and Computers and Electronics Manufacturing