Acquisition Associate

Candidate should have 2–6 years total experience, with 1+ year mandatory as a Project Manager in ops-driven roles.

2. Candidate should have Strong hands-on experience with Asana/Jira/Notion, Google Workspace, and Slack.

3. Candidate should have Ability to manage end-to-end project execution (schedules, deliverables, performance reviews).

4. Candidate should have Experience in risk management, coordination, and cross-functional communication.

5. Candidate should have Basic working knowledge of Python + SQL.

6. Candidate should have Experience setting up or managing onboarding workflows for teams.

7. Candidate should have Strong stakeholder management and operational planning capability.

8. Candidate should be Open to travel for project needs across India

Key Responsibilities

• Design, develop, test, and deploy scalable Java applications.

• Collaborate with cross-functional teams to define, design, and deliver new 

features.

• Solve complex technical problems with innovative, simple solutions.

• Write clean, efficient, and well-documented code.

• Participate in code reviews to maintain code quality.

• Continuously discover, evaluate, and implement new technologies to maximize 

development efficiency.

• Exhibit ownership and responsibility for assigned deliverables.

Qualifications and Required Skills

• 3 to 6 years of hands-on Java development experience.

• Strong experience in building products or applications from scratch (not just 

maintenance/support).

• Good understanding of object-oriented programming principles.

• Experience with frameworks like Spring, Spring Boot, Hibernate, etc.

• Strong knowledge of data structures, algorithms, and design patterns.

• Should have strong problem-solving abilities.

• Familiarity with RESTful APIs and microservices architecture is a plus.

• Solid understanding of database technologies (SQL, NoSQL).

• Exposure to cloud platforms (AWS, Azure, or GCP) will be an advantage.

• Strong debugging and troubleshooting skills

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

• Bachelor's degree required, or higher education level, or foreign equivalent, preferably in area wit
• At least 5 years experience in Duck Creek Data Insights as Technical Architect/Senior Developer.
• Strong Technical knowledge on SQL databases, MSBI.
• Should have strong hands-on knowledge on Duck Creek Insight product, SQL Server/DB level configuration, T-SQL, XSL/XSLT, MSBI etc
• Well versed with Duck Creek Extract Mapper Architecture
• Strong understanding of Data Modelling, Data Warehousing, Data Marts, Business Intelligence with ability to solve business problems
• Strong understanding of ETL and EDW toolsets on the Duck Creek Data Insights
• Strong knowledge on Duck Creek Insight product overall architecture flow, Data hub, Extract mapper etc
• Understanding of data related to business application areas policy, billing, and claims business solutions
• Minimum 4 to 7 year working experience on Duck Creek Insights product
• Strong Technical knowledge on SQL databases, MSBI
• Preferable having experience in Insurance domain
• Preferable experience in Duck Creek Data Insights
• Experience specific to Duck Creek would be an added advantage
• Strong knowledge of database structure systems and data mining
• Excellent organisational and analytical abilities
• Outstanding problem solver

1. Cultivate and maintain string relationships with exixting clients to understand their business needs and objectives,
2. Develop and implementeffective strategiesfor client acquisitionand market expansion

Required Skills - B2B sales, staff augmentation , client acquisition, IT staffing

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

Responsibilities:

• Writing reusable, testable, and efficient code in Python.
• Designing and implementing software features and capabilities.
• Identifying and addressing performance bottlenecks and bugs in existing code.
• Collaborating with other developers, stakeholders, and users to define, design, and ship new features.
• Building and maintaining software documentation.
• Ensuring code is maintainable and maintain appropriate versioning practices.
• Continuously discovering, evaluating, and implementing new technologies to maximize development efficiency.

Requirements:

• 
  
• Bachelor's degree in Computer Science or related field.
• Minimum of 3 years of experience in Python development.
• Strong knowledge of Python programming language and related frameworks (such as Django, Flask etc.)
• libraries is important.
• Knowledge of software development methodologies, version control systems and experience with system administration.
• Database management and good understanding of software design principles is desired.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork skills.

Software Engineer

Responsibilities

• Work with a performance oriented team driven by ownership and open to experiments.
• Learn to design systems for high accuracy, efficiency and scalability.
• Help us make decisions to shape our REST APIs for developers worldwide
• Think outside the box, adapting the latest software technologies
• Contribute to open source
• Be involved and drive product & design discussions.
• Contribute to our technical innovation by learning and sharing your knowledge with our Engineering teams

Requirements

• Graduation in any technical stream
• A minimum of (3 to 5 ) years of relevant experience
• Ability to work at all levels of the stack, from Golang/NodeJS+NoSQL/SQL to React/+HTML+CSS+Azure/AWS
• Good architectural & design skills.
• Take full ownership and responsibility for building, shipping, and maintaining core LoginRadius features, end to end.
• Design and architect complex new systems, focusing not only on performance and scalability, but also on crafting a beautiful user experience.
• Experience in Docker/Kubernetes is a plus
• Ability to build a feature from scratch & drive it to completion
• A willingness to learn new technology, whatever lets you deliver the best product

• Have worked at a product company is a plus