Jr. AI Engineer

Call for Applications for Jr. AI Engineer ( R-08) – ANNAM.AI Location: ANNAM.AI, Center of Excellence in AI for Agriculture, IIT Ropar (Onsite preferred; hybrid/remote may also be considered) Type: Full-Time | Contractual | Renewable based on performance Compensation: ₹6–9 Lakhs per annum (Based on

qualifications

and experience) Performance Incentives: Additional incentives based on performance and project outcomes, subject to Governing Board approval Tenure: Initial appointment for 2 years, extendable up to 5 years based on performance. Minimum

experience

of 0 - 2 years (May be relaxed in the case of exceptional candidates.) Role Summary As a Jr. AI Engineer at ANNAM.AI, you will support the development and deployment of AI-driven solutions for agriculture, including precision farming, crop monitoring, and farmer advisory systems. You will work under the guidance of Sr. AI Engineers, assisting in building and testing AI/ML and Generative AI solutions, data pipelines, and farmer-centric applications tailored for India’s agricultural ecosystem. This role is ideal for early-career professionals who want to build expertise in LLMs, RAG systems, and modern AI technologies while making a meaningful social impact.

Key Responsibilities

AI Model Development and Testing Assist in designing, developing, and testing machine learning and Generative AI models for applications like crop yield prediction, soil health analysis, and pest detection. Contribute to RAG pipeline development and integrate AI with real-world agricultural datasets. Build and fine-tune transformer-based models like BERT, GPT, and LLaMA for NLP-driven farmer advisory tools. Collaborate with Sr. AI engineers to optimize models for accuracy and scalability. Technology Deployment and Support Support the deployment of AI tools and platforms in rural agricultural settings, ensuring usability for farmers and field practitioners. Assist in developing LangChain-powered systems with Vector Database integration for efficient information retrieval. Provide technical support for pilot projects and proof-of-concept initiatives. Collaboration and Data Integration Work closely with interdisciplinary teams, including agricultural scientists, data analysts, and field staff, to align AI solutions with real-world needs. Integrate external data sources (e.g., weather data, market trends) into AI models to enhance decision-making for farmers. Participate in team discussions to identify high-impact use cases for AI in agriculture. Documentation and Reporting Document model development processes, datasets, and deployment outcomes for internal records and publications. Contribute to technical reports, case studies, or presentations for stakeholders, including government bodies and research institutes. Assist in preparing training materials for farmers or field staff on AI tool usage. Learning and Skill Development Stay updated on advancements in AI/ML, particularly in agri-tech applications, through training and mentorship. Participate in capacity-building initiatives, such as workshops or hackathons, to enhance technical skills.

Candidate Profile

Educational

Qualifications

&

Skills

Diploma from IITM BS or Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline from a reputed institution. Proficiency in programming languages such as Python, R, or Java, and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Basic understanding of transformer models (BERT, GPT, LLaMA) and Generative AI concepts. Exposure to LangChain, RAG pipelines, and Vector Databases is a plus. Basic understanding of data processing, computer vision, or natural language processing for agricultural applications. Knowledge of cloud platforms (e.g., AWS, Azure) or IoT systems is a plus. Professional

Experience

Minimum 0–2 years of

experience

in AI/ML projects, internships, or research, preferably with exposure to agri-tech or rural technology deployment.

Experience

with data analysis, model development, or software development in academic or industry settings. Prior involvement in interdisciplinary projects or collaboration with non-technical stakeholders (e.g., farmers, FPOs) is an advantage. Performance-Based Incentives Jr. AI Engineers will be eligible for performance-based incentives, subject to periodic reviews and Governing Board approval. Incentives will be tied to project milestones, such as successful model deployment or farmer adoption rates. Separation Clause One month’s notice in year one, two months in subsequent years, or salary in lieu. Application ProcessSubmit your application through the Zoho Recruit portal Subject Line: Application for Jr. AI

and experience) Performance Incentives: Additional incentives based on performance and project outcomes, subject to Governing Board approval Tenure: Initial appointment for 2 years, extendable up to 5 years based on performance. Minimum

experience

of 0 - 2 years (May be relaxed in the case of exceptional candidates.) Role Summary As a Jr. AI Engineer at ANNAM.AI, you will support the development and deployment of AI-driven solutions for agriculture, including precision farming, crop monitoring, and farmer advisory systems. You will work under the guidance of Sr. AI Engineers, assisting in building and testing AI/ML and Generative AI solutions, data pipelines, and farmer-centric applications tailored for India’s agricultural ecosystem. This role is ideal for early-career professionals who want to build expertise in LLMs, RAG systems, and modern AI technologies while making a meaningful social impact.

Key Responsibilities

AI Model Development and Testing Assist in designing, developing, and testing machine learning and Generative AI models for applications like crop yield prediction, soil health analysis, and pest detection. Contribute to RAG pipeline development and integrate AI with real-world agricultural datasets. Build and fine-tune transformer-based models like BERT, GPT, and LLaMA for NLP-driven farmer advisory tools. Collaborate with Sr. AI engineers to optimize models for accuracy and scalability. Technology Deployment and Support Support the deployment of AI tools and platforms in rural agricultural settings, ensuring usability for farmers and field practitioners. Assist in developing LangChain-powered systems with Vector Database integration for efficient information retrieval. Provide technical support for pilot projects and proof-of-concept initiatives. Collaboration and Data Integration Work closely with interdisciplinary teams, including agricultural scientists, data analysts, and field st