Artificial Intelligence Developer at SJTech Solutions · Remote, Bhopal · 0 - 6 years · ₹2.4L - ₹8.4L / yr · Profitable · Remote friendly · Posted 27 Jul 2026
Are you a Python-savvy developer with experience & portfolio of working on python, AI, ML projects looking to work on innovative projects? Look no further! SJTech Solutions is seeking an ambitious and talented candidate to join our dynamic team.
Key responsibilities:
1. Develop and implement AI models using Python, Machine Learning, Data Science, and Deep Learning techniques.
2. Working on deep learning and machine learning algorithms
3. Working on automation scripts
4. Working on supervised and unsupervised learning algorithms
5. Stay up-to-date with the latest advancements in AI technology and trends.
If you are passionate about AI and eager to work and grow in a fast-paced environment, we want to hear from you! Apply now!

About SJTech Solutions
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Job Title: AI Developer
Location: Bangalore / Hyderabad
Experience: 5–7 Years
Notice Period: Immediate to 15 days Preferred
About the Role
We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.
Key Responsibilities
- Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
- Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Integrate AI/ML models into existing applications and APIs.
- Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
- Collaborate with data engineers to ensure high-quality training data.
- Monitor model performance in production and implement retraining strategies.
- Research and evaluate emerging AI frameworks, tools, and technologies.
- Document models, experiments, and technical decisions.
Required Skills & Experience
- 3+ years of experience in AI/ML development.
- Strong proficiency in Python.
- Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
- Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
- Experience deploying models using FastAPI or Flask (REST APIs).
- Strong understanding of Data Structures, Algorithms, and Statistics.
- Experience with AWS, Azure, or GCP and MLOps tools.
- Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.
About NonStop io Technologies
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.
Brief Description:
We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics
● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.
Qualifications & Skills
● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
● Proficiency in programming languages commonly used for AI/ML. Preferably Python
● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
● Strong understanding of machine learning algorithms, statistics, and data structures
● Experience with data preprocessing, data wrangling, and feature engineering
● Knowledge of deep learning architectures, neural networks, and transfer learning
● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
Hiring for AI Engineer
Exp: 5 - 8 yrs
Edu : BE/B.Tech/MCA
Work Location : Pune
Skill Set:
Total experience ranging from 5 - 8 years in software engineering/AI roles
Min 5 years strong programming experience in Python or Typescript is a MUST
Min 2.5 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks
Experience with cloud platforms (AWS/Azure/GCP)
🚀 Hiring: Python + Gen AI Developer
📍 Location: Bengaluru
💼 Experience: 4–6 Years
Mandatory Skills:
✅ Python
✅ Generative AI / Gen AI
✅ LLMs / AI Application Development
✅ Python Backend / API Development
Role:
Looking for a skilled Python + Gen AI Developer with hands-on experience in developing Python-based applications and integrating Generative AI/LLM solutions.
🔹 Develop scalable Python applications
🔹 Build and integrate Gen AI/LLM solutions
🔹 Develop APIs and backend services
🔹 Collaborate with cross-functional teams
🔹 Troubleshoot and optimize applications
📩 Interested candidates can share their updated resume.
#Hiring #PythonDeveloper #GenAI #GenerativeAI #LLM #AIJobs #BengaluruJobs #TechHiring #ITJobs
About the Job :
We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.
Job Description:
We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.
Responsibilities:
- Design, develop, and deploy AI models and algorithms.
- Conduct data analysis and pre-processing to prepare data for modeling.
- Implement and optimize machine learning algorithms.
- Collaborate with software engineers to integrate AI models into production systems.
- Evaluate and improve the performance of existing AI models.
- Stay updated with the latest advancements in AI research and apply them to enhance our products.
- Provide technical guidance and mentorship to junior team members.
Requirements:
- Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
- Proven experience in developing and implementing machine learning models and algorithms.
- Strong programming skills in languages such as Python, R, or Java.
Benefits :
- Internship Certificate
- Letter of Recommendation
- Performance-Based Stipend
- Part-time work from home (2-3 hours per day)
- 5 days a week, fully flexible shift
Job Overview
We are looking for an experienced AI/ML Engineer with strong full-stack development skills to design, develop, and deploy AI-powered applications. The ideal candidate should be proficient in Python backend development, frontend technologies, and LLM integration, with the ability to build end-to-end AI-native products, custom dashboards, and lightweight applications.
This role focuses on applying AI to real-world business problems through rapid prototyping, prompt engineering, Retrieval-Augmented Generation (RAG), and scalable application development.
Key Responsibilities
- Design, develop, and deploy end-to-end AI-powered applications.
- Build backend services and REST APIs using Python.
- Develop responsive frontends using React, Next.js, or similar frameworks.
- Integrate LLM APIs such as OpenAI, Claude, and Hugging Face into production applications.
- Build custom dashboards, internal tools, micro-apps, and AI-driven business solutions.
- Implement prompt engineering, embeddings, RAG pipelines, and context-aware AI systems.
- Rapidly prototype and validate ideas using modern AI-assisted development workflows.
- Optimize application performance, scalability, reliability, and AI usage costs.
- Work with data processing libraries such as Pandas and NumPy.
- Collaborate with product and business teams to translate requirements into functional AI solutions.
- Take ownership of features from ideation and development through testing, deployment, and production support.
Required Skills & Qualifications
- 2+ years of experience in software engineering, AI engineering, or application development.
- Strong proficiency in Python and backend development.
- Hands-on experience with React, Next.js, or similar frontend technologies.
- Practical experience integrating LLM APIs such as OpenAI, Claude, or Hugging Face.
- Understanding of REST APIs, microservices, and system design principles.
- Knowledge of prompt engineering, embeddings, and RAG architectures.
- Experience with data processing using Pandas and NumPy.
- Ability to independently build, test, and deploy full-stack applications.
- Strong problem-solving, debugging, and analytical skills.
- Ability to work in a fast-paced environment with a strong ownership mindset.
Good to Have
- Experience with LangChain, LlamaIndex, or similar AI frameworks.
- Familiarity with vector databases such as Pinecone, Weaviate, or Supabase.
- Experience building AI chat interfaces, copilots, assistants, and custom dashboards.
- Familiarity with cloud platforms, application deployment, and production monitoring.
- Experience with AI-assisted coding tools and rapid prototyping workflows.
What We Are Looking For
- A full-stack AI engineer who is comfortable working across both backend and frontend development.
- Someone focused on building practical AI-powered products rather than only training machine learning models.
- A developer who can prototype quickly, validate ideas, and iterate efficiently using a “vibe coding” approach.
- A self-driven professional who can take ownership of a feature from concept to production.
Please note that this job is only for Ahmedabad location.
Dear Candidate,
Thanks for showing interest towards the opportunity!!!
As discussed, we have an immediate opening for Python + Agentic AI Developer with Mphasis for Bangalore location.
Experience: 4 Years
Mandatory Skills: Python, Agentic AI, Generative AI (GenAI), LLMs, AI Agents.
Kindly share your updated resume and availability for the opportunity.
🚀 We’re Hiring | Data Scientist 🧠📊
Ready to turn data into real-world intelligence? Join us and work on exciting AI/ML & data-driven solutions!
🔹 Experience: 8+ Years
🔹 Must-Have Skills:
🐍 Python | 🤖 Machine Learning | ☁️ Cloud | 🧠 NLP | 📊 Data Visualization
📍 Location: Pune
💼 Work Mode: Work from Office
If you're passionate about Data Science, AI & solving complex business problems, we’d love to hear from you!
📩 Interested? Kindly text
#Hiring #DataScientist #DataScience #MachineLearning #Python #NLP #AI #Cloud #DataVisualization #TechJobs #HiringNow
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Experience Level
This role is ideal for engineers with total 3+ years of experience with a proven track record of shipping complex projects successfully.
An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.
What You’ll Do as a Software Craftsperson
- Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming
- Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality
- Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production
- Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems
- Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback
- Investigate and resolve production issues, and implement systemic improvements to prevent recurrence
- Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions
- Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering
Requirements
What You’ll Bring
- 3+ years of experience building high-quality, production systems (flexible based on demonstrated capability)
- Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD
- Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability
- Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly
- Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality
- Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability
- Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions
- A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
This is a remote position.
About Leegality:
Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.
We have multiple products across 2 categories:
Document Infrastructure:
Products that help businesses build paperless processes at scale:
- Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
- Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contract
- Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner
Consent Infrastructure:
- Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
- Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.
If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.
Curious about our impact? Explore our customer success stories: leegality.com/case-studies
Our Culture
At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.
We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:
- Flexible working hours
- Hybrid work setup
- Bi-annual performance appraisals
- A culture that rewards initiative, curiosity, and impact
If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.
Location: Hybrid
Job Brief:
- As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence.
- To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing
Responsibilities:
- Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications.
- Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data.
- Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection.
- Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks.
- Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows.
- Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance.
- Documenting machine learning processes, model architectures, and data pipelines.
- Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing.
Requirements:
- 3+ years of relevant experience in Machine Learning Engineering, with a strong focus on Computer Vision and/or Natural Language Processing.
- Advanced proficiency with Python.
- Extensive knowledge of ML frameworks, libraries (e.g., PyTorch, Transformers), data structures, data modeling, and software architecture.
- Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).
- In-depth knowledge of mathematics, statistics, deep learning (CNNs, RNNs, Transformers), and algorithms.
- Superb analytical and problem-solving abilities, especially for unstructured data challenges.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.
Recruitment Process:
- Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.
- You will be contacted via email with the next steps upon being shortlisted.
- The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.
- Final selection and CTC will be based on your overall performance and experience.
Apply directly through our career page: https://careers.leegality.com/jobs/Careers
For more information about us please visit our:
Our Company and Culture: https://bit.ly/3Iqm5SB
Our Website: www.leegality.com/
Our LinkedIn Page: www.linkedin.com/company/leegality/
Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice













