Deployed AI Engineer E X P E R I E N C E 8+ years W O R K M O D E E N G A G E M E N T T Y P E Contract D U R A T I O N 6 Months S H I F T T I M I N G US Shift BUDGET
- 1.7LPM R O L E O V E R V I E W The Forward Deployed AI Engineer will serve as our client's most senior client-facing technical role, partnering directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams. The engineer will design and build the data-generation, labeling, and evaluation pipelines that power next-generation AI models, owning solutions from problem discovery through implementation and delivery. The role also involves shaping our client's approach to AI solution engineering and mentoring Solution Engineers and Technical Consultants. K E Y R E S P O N S I B I L I T I E S Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership Lead executive conversations using a structured, answer-first (BLUF) approach Manage escalations and expectations with composure and integrity Build long-term trusted relationships by recommending evidence-based solutions Ask probing questions to uncover the client's real need, including their model, the metrics they want to move, and how they intend to train or evaluate it Apply a solid understanding of how LLMs are trained and fine-tuned to hold credible conversations with technical leaders and understand their data strategy Propose proactively the data that will solve the client's problem, with options and rationale Design and build data solutions hands-on, configuring data-labeling components and quality controls Develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation) Integrate solutions into automated, multi-stage pipelines that produce data for AI training and evaluation Architect complex,



multi-stage solutions end to end Run experiments to prove the pipeline delivers data of the required quality and speed Iterate from MVP toward production Provide technical leadership across multiple client engagements Establish reusable engineering standards and best practices Confidential. Shared with authorised recruitment partners only. Please do not forward this JD or contact the end client directly. Page 1 of 3 GirnarSoft Forward Deployed AI Engineer
· GS/JD/2026/0003 Mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization Own delivery end to end, including timelines, quality, and scalability Own the commercial outcome, including Gross Margin and Contribution Margin, naming the levers, trade-offs, and next checkpoints Identify and drive expansion opportunities M A N D A T O R Y S K I L L S Executive communication with CTOs, VPs, and senior technical stakeholders (clear, concise, structured, persuasive, calm under pressure) Professional English (C1+) Modern LLM development: training, fine-tuning, and evaluation (SFT, RLHF/RLAIF, DPO/PPO, reward modeling, LoRA/PEFT) Post-training experience, including SFT (Supervised Fine-Tuning) and Reinforcement Learning Translating client goals into effective AI data solutions Hands-on solution engineering: complex AI solutions, multi-stage pipelines, AI-driven systems (agentic workflows, RAG, synthetic data generation)



Python (NumPy, Pandas) API integration Independent prototyping of LLM-powered solutions Software engineering foundations: version control, testing, MVP thinking, iterative development Discovery and problem framing, working through ambiguity and translating business or research goals into AI data and evaluation strategies Delivering complex AI, ML, or data projects end to end (8+ years) Influencing technical direction beyond individual projects Ownership mindset: trade-offs between time, cost, and quality, owning technical and commercial success G O O D
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- H A V E S K I L L S Building production software Establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives Top-tier strategy consulting (McKinsey, Bain, BCG) and/or applied ML / LLM engineering Hands-on training or fine-tuning of LLMs and/or building agentic systems Crowdsourcing and/or data-centric AI Quick-paced, multi-project delivery for frontier AI clients Q U A L I F I C A T I O N S & C E R T I F I C A T I O N S Advanced degree (MSc/PhD) in AI, CS, or a related field (preferred) A D D I T I O N A L I N F O R M A T I O N Engagements vary widely, from evaluation pipelines for frontier foundation models to domain-specific reasoning datasets and synthetic data workflows Confidential. Shared with authorised recruitment partners only. Please do not forward this JD or contact the end client directly. Page 2 of 3 GirnarSoft Forward Deployed AI Engineer
· GS/JD/2026/0003 The engineer helps clients identify the right data strategy rather than training models. post your cv to this email id: [email protected] Pay: ₹150,000.00
- ₹170,000.00 per month Work

Location:
Remote

📌 Deployed AI Engineer (India)
🏢 Kasmoprav
📍 India