Sr. AI Engineer, AI FDE

NextBigWhat; United States; Remote; USD 4,700 - 7,900; Full time

Benefits offered by this job

Remote work India

Cutting-edge AI

Industry exposure

Cross-functional teams

Thought leadership

Benefits to be confirmed

Job summary

NextBigWhat seeks a Sr. AI Engineer (AI/FDE) to design, deploy and optimize cutting-edge generative AI solutions. In a customer-facing role, you will transform research into production-grade AI systems, collaborating with product, engineering, and research teams across industries.

You will work on RAG pipelines, multi-agent architectures, Text-to-SQL, and model fine-tuning, with cloud deployment across AWS/Azure/GCP. Travel to customer locations is expected periodically.

Qualifications

• Extensive hands-on experience in data science and ML with practical AI deployments.
• Experience building generative AI apps (RAG, multi-agent, Text-to-SQL).
• Experience deploying on cloud platforms (AWS, Azure, GCP).

Responsibilities

• Design and build advanced generative AI solutions (RAG, multi-agent, Text-to-SQL).
• Lead deployment and production rollout of AI apps with reliability and scale.
• Advise customers by translating business problems into AI architectures.
• Evaluate and improve production AI applications through testing and optimization.
• Collaborate with product, engineering, research, and developer relations teams.
• Share expertise via customer engagements and industry events.
• Travel to customer sites roughly every 4-8 weeks.

Skills

Data science

Machine learning

RAG pipelines

Multi-agent systems

Text-to-SQL

Fine-tuned models

Hugging Face

LangChain

DSPy

Production deployment

AWS

Azure

GCP

PyTorch

Pandas

Scikit-learn

Communication skills

Travel willingness

Education

Graduate degree in CS/Engineering/Statistics/OR

Tools

Hugging Face

LangChain

DSPy

AWS

Azure

GCP

PyTorch

Pandas

Scikit-learn

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. AI Engineer, AI FDE based in India.

We are seeking a Senior AI Engineer specializing in Forward Deployed Engineering to design, develop, and deploy advanced AI solutions that address complex customer challenges. In this customer-facing role, you will turn emerging generative AI research into reliable, production-ready applications with measurable business impact. You will work closely with customers to understand their needs, provide technical guidance, and deliver innovative AI systems across a range of industries. Collaborating with engineering, product, and research teams, you will help shape product direction and influence long-term technical priorities. The role offers opportunities to explore emerging developments in generative AI, large language models, machine learning, and LLM operations. You will also contribute to technical knowledge-sharing and represent the team at industry events and conferences.

Accountabilities

• Design and develop advanced generative AI solutions using techniques such as retrieval-augmented generation (RAG), multi-agent systems, Text-to-SQL, and model fine-tuning.

• Lead the deployment and production rollout of customer-facing and internal AI applications, ensuring reliability, scalability, and performance.

• Serve as a trusted technical advisor to customers, translating business challenges into effective AI architectures and implementation strategies.

• Evaluate, optimize, and improve production-grade AI applications through systematic testing, performance analysis, and continuous iteration.

• Collaborate with product, engineering, research, and developer relations teams to influence product priorities and contribute to the technical roadmap.

• Share technical expertise through customer engagements, conference presentations, and internal knowledge-sharing initiatives.

• Support strategic projects and subject-matter experts by applying practical AI engineering expertise to complex business problems.

• Travel to customer locations approximately once every four to eight weeks, as business needs require.

Requirements

• Extensive hands-on industry experience in data science, machine learning, and the development of practical AI solutions.

• Demonstrated experience building generative AI applications, including RAG pipelines, multi-agent systems, Text-to-SQL solutions, and fine-tuned models.

• Familiarity with AI development frameworks and tools such as Hugging Face, LangChain, and DSPy.

• Strong expertise in deploying production-grade generative AI applications, including evaluation methodologies, performance optimization, and operational reliability.

• Experience building and deploying machine learning solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Proficiency with common data science and machine learning tools, including pandas, scikit-learn, and PyTorch.

• A graduate degree in a quantitative field, such as computer science, engineering, statistics, or operations research, or equivalent practical experience.

• Strong communication and presentation skills, with the ability to explain and teach complex technical concepts to both technical and non-technical audiences.

• A collaborative mindset, intellectual curiosity, and a commitment to continuous learning and delivering measurable business value through AI.

• Preferred: Experience with large-scale distributed data processing using Apache Spark and the Databricks Intelligence Platform.

• Willingness to travel periodically to meet customers and support project delivery.

Benefits

• Remote work opportunity based in India.

• Opportunity to work on cutting-edge generative AI and machine learning applications.

• Exposure to complex customer challenges across multiple industries.

• Collaboration with cross-functional teams working on AI research, engineering, and product development.

• Opportunities to contribute to technical thought leadership, industry conferences, and knowledge-sharing initiatives.

• Region-specific employee benefits and perks may be available; exact details regarding compensation, healthcare, leave, and other benefits have not been specified and should be confirmed during the hiring process.