Experience : 3.00 + years

Salary : INR 4000000-6000000 / year (based on experience)

Expected Notice Period : 15 Days

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Office ()

Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: An AI-powered platform)

**(*Note: This is a requirement for one of Uplers' client - An AI-powered platform)

**What do you need for this opportunity?

Must have skills required: Python, TypeScript An AI-powered platform is Looking for: Senior AI Engineer**** The Role We’re hiring a Senior AI Engineer to own the design, development, and continuous improvement of the AI agent systems that power modern research operations.

This is a high-ownership, high-impact role at the intersection of applied AI and systems engineering. You’ll work on genuinely hard problems: agent reliability at scale, long-context handling, cascading error mitigation, and evaluation infrastructure — like codegen agents that write in proprietary DSLs, computer-use agents that QA live deployments, data agents that clean tabular exports and configure multi-step analysis, and evals for outputs where “correct” is genuinely ambiguous. And you’ll do it on a team that ships fast and treats quality as non-negotiable.

What You’ll Own Agent Harness and Architecture

- Own the agent harness our production agents run on — the loop where agents plan, use tools, check their work, and recover from failures
- Lead research and implementation for long-context handling and cascading-error challenges in multi-step agent pipelines
- Drive context engineering strategy and experimentation frameworks across the team

Evaluation and Production Monitoring
- Define structured rubrics for evaluating AI outputs on nuanced, ambiguous research tasks




- Build continuous monitoring, tracing, and failure-mode analysis for agents in production — including the loop that turns production failures into test cases
- Create tooling that lets domain experts refine and evolve the skill files, eval sets, and knowledge bases our agents consume

Reliability for High-Stakes Outputs
- Build eval suites — regression sets, golden datasets, LLM-as-judge pipelines — that catch regressions before deploy
- Develop evaluation datasets for DSLs, structured data transforms, and computed outputs to systematically find and close model weaknesses
- Design human-in-the-loop and review workflows for outputs where a single wrong number in a client report is unrecoverable

What We’re Looking For Must-Have

- Built and operated agentic systems in production — multi-step pipelines, tool use, codegen, computer-use, or data and reporting agents — not just prototypes
- 4+ years of engineering experience, with at least 1 year focused on LLM/agent systems in production
- Deep hands-on experience with frontier model APIs (Anthropic, OpenAI, Gemini), evaluation frameworks, and AI system optimization
- Strong Python skills Go or TypeScript a plus
- Solid grasp of context engineering and evaluation methodology
- Strong instincts for debugging complex, non-deterministic system failures
- High ownership:



you drive problems to resolution independently and pull others in when it matters

Nice to Have

- Experience with LLM observability and eval tooling (Braintrust, Langfuse, LangSmith, Weave, promptfoo, or in-house equivalents)
- Background in semantic parsing, DSLs, or structured-output generation
- Prior work on computer-use or browser agents
- Experience with human-in-the-loop agent workflows where proposals are reviewed before apply, or agents over large structured datasets

Why MT

- Work at the frontier of production AI: systems handling 1,000+ research projects a month, with the reliability bar that implies
- A small, senior team where your decisions carry real architectural weight
- Zero-bureaucracy culture: high autonomy, fast feedback loops, direct access to leadership
- Well-funded and financially stable, with a clear roadmap and the runway to execute on it

How to apply for this opportunity?

- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an prospect to take your career to the next level, don't hesitate to apply today. We are waiting for you!

📌 Senior AI Engineer (Onsite- Bangalore) (Bengaluru)
🏢 Uplers
📍 Bengaluru