KOCHI · FULLTIME
AI Engineer
Peoplehum
Kochi · onsite · Posted 51d ago
Sourced from
Undisclosed1–2 yrsfulltimeKochi
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.7s
- Found the form on Naukri · 5 questions to answer1.7s
- Decided the answers for all of them2.7s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
THE ROLE
You will build the systems behind our internal AI intelligence layer and our client AI work. This is applied engineering on production systems with real users inside the company and real clients outside it. It is not a research post, and it is not a prompt writing post.
The work is varied by design. In a given quarter you might tune a retrieval pipeline that is returning the wrong chunks, design an authorisation model so an agent cannot read what its caller cannot read, benchmark two open weight models on a clients data to justify an on premises deployment, and then write the evaluation harness that proves the change was actually an improvement.
WHAT YOU WILL DO
- Build and maintain retrieval pipelines, covering chunking strategy, embedding selection, vector store performance and hybrid search behaviour. We run pgvector on PostgreSQL today.
- Design and ship agent workflows and tool calling systems, with attention to failure handling, cost and latency rather than demo quality output.
- Own model evaluation. Build the harnesses, define the metrics and produce the evidence that a change helped. We would rather have an unglamorous eval suite than a confident opinion.
- Deploy and operate inference workloads on GCP and Vertex AI, and contribute to sizing and configuration for on premises open weight model hosting.
- Integrate AI capability into the wider product surface through APIs, webhooks and event driven pipelines.
- Work with the AI Product Owner to turn requirements into technical designs, and push back when the requirement and the technology disagree.
WHAT WE ARE LOOKING FOR
- Strong Python, and comfort in a production codebase rather than only in notebooks.
- Practical experience with LLM applications: RAG systems, agent frameworks, structured output, function calling. You have debugged a retrieval system that was quietly returning rubbish, and you know how you found it.
- Solid SQL and PostgreSQL. Vector database experience is a clear advantage.
- Cloud deployment experience, ideally GCP, including containerised services and managed inference.
- An empirical instinct. When something improves, you want to know by how much.
USEFUL BUT NOT ESSENTIAL
- Fine tuning or adapter work, including LoRA.
- Experience with self hosted open weight models and GPU infrastructure.
- Familiarity with AI security concerns such as prompt injection, authorisation in retrieval, and data leakage across contexts.
- Frontend competence in React or Next.js, enough to build a working interface for your own systems.
WHAT SUCCESS LOOKS LIKE
In your first ninety days you will ship one meaningful improvement to retrieval quality on the internal AI platform with measurement to back it, and take independent ownership of at least one client facing AI component.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
Retrieval Augmented GenerationPostgresqlCloud DeploymentFine TuningVector Databasemodel evaluationapisgoogle cloud platformai engineerVectorProduct Ownerhostingai securityLoraLarge Language Models (LLMs)Event DrivendeploymentPythonJavascriptReact.JscloudSQLResearchAi PlatformArtificial Intelligence
Section · Company
About peopleHum
Peoplehum
IT Services & Consulting
201-500
employees
2016
10 years old
Union City, California
United States
About
peopleHum is a technology company specializing in HR tech and human capital management solutions. It provides a cloud-based platform that integrates recruitment, employee engagement, performance management, and people analytics to streamline workforce operations. With a focus on AI-driven insights and user-friendly design, peopleHum positions itself as a trusted partner for organizations seeking to modernize HR processes and enhance employee experience.
Industries
IT Services & Consulting
Employee ratings
67 reviews
3.7/ 5
Culture
3.7
Career growth
3.7
Work-life
3.7
Employees rate it well for
Learning11Senior Management6Work Culture6Career Growth6Work Life Balance6
Find them on