Forward Deployed AI EngineerLocation: Remote

Work Mode: Remote

Working Hours: US Shift Timings

Experience: 8+ Years

Compensation: Confidential

Company: Confidential

Role OverviewWe are looking for an experienced Forward Deployed AI Engineer to work at the intersection of AI engineering, consulting, and solution architecture.

This is a senior, client-facing technical role requiring close collaboration with CTOs, VPs of Engineering, ML leaders, and research teams to solve complex AI and data challenges.

The role involves designing and building data-generation, labelling, and evaluation pipelines that power next-generation AI models. The ideal candidate must have strong hands-on experience in LLM development, particularly post-training techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning.

The candidate will own solutions end to end, from understanding client requirements and technical discovery to implementation, experimentation, and production delivery.

Key Responsibilities

- Act as the primary technical point of contact for CTOs, VPs of Engineering, and senior AI/ML stakeholders.
- Lead technical discussions, understand client requirements, and translate business objectives into AI-driven solutions.
- Design and develop complex AI solutions, including data labelling, quality control, and evaluation pipelines.
- Build and integrate agentic systems, RAG-based applications, and synthetic data generation solutions.
- Develop automated, multi-stage pipelines for AI model training and evaluation.
- Conduct experiments to validate data quality, pipeline performance, and scalability.
- Drive solutions from MVP development to production implementation.
- Provide technical leadership,



mentor engineers, and establish reusable engineering standards.
- Own end-to-end project delivery, ensuring timelines, quality, scalability, and commercial outcomes.
- Identify opportunities for solution expansion and continuous improvement.

Required Skills & Qualifications
- 8+ years of experience delivering complex AI, ML, or data engineering projects.
- Mandatory hands-on post-training experience in Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL).
- Strong understanding of modern LLM training and fine-tuning methodologies, including:
- SFT
- RLHF / RLAIF
- DPO / PPO
- Reward Modelling
- LoRA / PEFT
- Strong hands-on experience in Python, NumPy, and Pandas.
- Experience developing AI-powered solutions, agentic workflows, RAG applications, and multi-stage pipelines.
- Strong understanding of API integrations and LLM-powered application development.
- Solid software engineering fundamentals, including version control, testing, prototyping, and iterative development.
- Excellent client-facing communication and stakeholder management skills.
- Ability to independently lead technical discovery and translate complex requirements into scalable solutions.
- Excellent qualified English communication skills (C1+).

Good to Have
- Experience building and deploying production-grade AI software.
- Experience mentoring engineers or leading cross-functional technical initiatives.
- Background in applied ML, LLM engineering, or top-tier strategy consulting.
- Experience building agentic AI systems and fine-tuning LLMs.
- MSc or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience in crowdsourcing, data-centric AI, or working with frontier AI clients.

📌 Forward Deployed AI Engineer (India)
🏢 MOUTUPS
📍 India