Forward Deployed AI Engineer
Company Description:
Avisoft is a technology and IT services company based in India that builds AI-driven systems and platforms for global brands such as American Eagle, First Databank (FDB), Clima Australia, and others. The company specializes in custom chatbots, Generative AI models, enterprise-grade software, and modern SaaS, B2B, and D2C platforms that help organizations reduce costs and drive growth. Avisoft’s expertise spans custom LLMs, traditional AI/ML, data analytics, NLP, full-stack and mobile development, test automation, product engineering, and DevOps. As an employee-centric and customer-obsessed organization.
Job Location:
Jammu
Role Description:
The engineer will work closely with client stakeholders to understand business needs, translate requirements into AI and software solutions, and rapidly prototype, test, and deploy production-ready systems. Day-to-day responsibilities include customizing and fine-tuning LLMs, implementing ML and NLP models, integrating AI services into existing applications, and building robust back-end components and APIs. The role involves collaborating with cross-functional teams, optimizing performance and scalability, monitoring deployed systems, and iterating based on real-world feedback.
Key Responsibilities:
* Draw on a solid understanding of how LLMs are trained and fine-tuned to hold credible conversations with technical leaders and understand their data strategy
* Design and build data solutions hands-on: configure 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
* Run experiments to prove the pipeline delivers data of the required quality and speed
Required Skills:
* Hands-on solution engineering: designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (agentic workflows, RAG, synthetic data generation)
* Python (NumPy, Pandas)
* API integration
- Independently prototyping LLM-powered solutions
* Solid software engineering foundations: version control, testing, MVP thinking, iterative development
* Exceptional discovery and problem framing, working through ambiguity and translating business or research goals into AI data and evaluation strategies
* Ownership mindset: making thoughtful trade-offs between time, cost, and quality and owning both technical and commercial success
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field