Odoo Developer

Role & Responsibilities

As a Senior GenAI Engineer you will own the AI layer of our product — building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical — the model, the pipeline, and the UI.

• Build and own CS Copilot — a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
• Build LLM-powered document understanding features — extracting structured, reliable data from unstructured enterprise documents
• Own AI feature UIs end-to-end — you build the interface, not just the model integration layer
• Design and maintain an eval framework — define what 'working' means for each AI feature and catch regressions before users do
• Drive model selection and integration decisions — choosing the right provider and approach for each use case, managing latency and cost
• Own AI platform reliability — observability, fallback behaviour, and graceful degradation when models fail
• Work closely with product, customer success, and the full-stack engineer — AI features only matter if they are usable and trusted by real users

THE IMPACT YOU'LL MAKE-

• You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
• CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
• You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
• Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
• You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature

Ideal Candidate

• Strong Senior GenAI / AI Backend Engineer Profiles
• Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
• Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
• Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
• Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
• Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
• Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
• Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
• Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
• Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
• Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
• Mandatory (Company) – Product companies / startups, preferably Series A to Series D
• Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
• Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
• Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
• Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
• Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
• Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)

We are a tech venture which provides Product Engineering, QA Automation, Infrastructure, Data, and Market Research services.

Technical Proficiency : 
Must have : 

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu

• Strong practical knowledge of Python and its libraries.

• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.

• Good knowledge of CI/CD and DevOps practices

• Good Experience of Python with Django/ Scrapy/ Flask frameworks.

• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.

• Strong analytical thinking and problem-solving skills.

• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
  
  Good to have : 

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.

• Preferred if had an OpenEdx platform experience or any LMS platform. 

   

Skills: 

Strong knowledge of MYSQL/PostGreSQL; Knowledge of MongoDB, Redis, Couch DB is preferred. 

Expertise in application development, databases, version control, and deployment. Skill - Node.js, 

Experience of AWS or GCP - especially services such as Lambda or google app engine 

Solid grasp of Service-oriented architecture. Web Services implementation on a medium to large scale 

Solid understanding of scaling mobile app services. Having worked the backend of an Android app is preferred 

Culture: 

Ability to work independently with minimal supervision 

Happy to deal with, and contribute to, an environment of daily builds Has worked in small teams, is versatile. Work within short timelines and be receptive to business needs. Can work closely with Digital, Product, Operations teams. 

Desirable Social Attributes: 

Has contributed to one or more Open Source projects through own initiative. Has provided a high quality answer to a question posted on StackOverflow. 

Role: 

As a Software Developer who would work independently, the candidate is expected actively acquire problems and deliver solutions as well as guide the team technically. Such a problem solver would obviously be a self starter with a high level of curiosity rather than a programming language specialist. 

He/she would be required to produce software of the highest quality through self-discipline, clear and engaged communication, and attention to detail. The role would include custom web application development on (most typically on Node.js and PHP/Python), databases (most typically MySql and MongoDb), version control (github), testing (necessarily through test scripts written before code is written), daily builds and eventual deployment onto AWS or GCP. 

Attributes of the ideal candidate: 

Highly productive software developer with the proven aptitude to understand and apply technology 

Determination to succeed despite obstacles and challenges, and a positive attitude favoring achievement of goals over open-ended investigation 

Always learning, evolving, and sharing what you know 

Inspired by complex, varied problems and rapid change 

Open-minded, flexible, and curious about new and better ideas

About TBM Technologies Pvt Ltd

Established in 2006, we are a research-driven 'machine-to-next' technology company. In 2018, we were recognized as the 'Telecom Technology Company of the Year - India'. We were named 'Most Innovative Software Development Company - India in 2017' and 'Best Telecom Software Company - India'. Other awards include being named among the '20 Most Promising Software Development Companies' and recognition by GSMA at the Mobile World Congress 2011. Our smart solutions enhance lifestyles and save lives, by enabling more effective communications.

With our proprietary software and technologies, we deliver solutions to telecom operators, including Airtel, Dialog Axiata, Verizon Wireless, Vodafone, and Idea. A dedicated research team focuses on next-generation solutions with sensors, smart devices, location 5.0 technology, multi-lingual multi-modal communication, omnichannel delivery platforms, cloud technologies, virtualization, rack servers, mobile phones, analytics, machine learning, and IoT.