Urgent Openings - SEO Growth Specialist in IT SaaS Org

We are looking for, Java Full stack Developer / Java Developer

Relevant Experience (In years):4+

Job Location: Mumbai

Skill: Java 8+, Spring Boot, Spring, Junit, MySQL, JSP, Servlet, JPA/Hibernate, REST Web service, SOAP web service, JQuery, Ajax, HTML, JS, JSON.

Role Category: Software Development

Education: BE / BTech in Any Specialization, MCA, BSC (IT)

Desired Competencies (Technical / Behavioral Competency)

Has experience working on Frontend technologies CSS, HTML, and JavaScript / JQuery

Hands-on experience of MYSQL Database.

Good verbal and written communication and collaboration skills to effectively communicate with both business and technical teams.

Comfortable working in a fast-paced, result-oriented environment.

Able to understand the requirement quickly and efficiently, should be able to work independently.

Significant Java Programming experience (in J2EE).

Prefer to have experience work with Agile Sprint and Scrum methodology.

Should be able to understand the requirements clearly and document the same whenever required.

Able to write reusable and scalable components and to build product aligned to platform architecture.

Follow coding guidelines and write efficient code.

Perform unit testing and preparation of unit test cases effectively.

Explore new technologies and carryout POCs

Willingness to explore and innovate new ideas with team members and appreciate individual inputs/ strengths

Good communication skills.

To support product and team with positive attitude and full dedication.

We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.

🔹 Key Responsibilities

• Build and maintain AI platform services enabling agentic workflows
• Develop domain-specific agents (proposal generation, compliance, data analysis)
• Implement multi-agent orchestration using LangGraph and related frameworks
• Build APIs, SDKs, and integration layers for product teams
• Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
• Enhance orchestration platforms, WebSocket communication, and error recovery
• Optimize performance, latency (<3s), cost, and reliability of AI systems
• Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing

🔹 Required Skills & Experience

• 5+ years of software engineering experience (1–2+ years in AI/ML systems)
• Strong Python (FastAPI, async, LangChain/LangGraph)
• Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
• Hands-on RAG, embeddings, vector databases, and hybrid search
• React + TypeScript experience (WebSockets, hooks, real-time UI)
• Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
• Solid backend fundamentals: REST APIs, databases, auth, testing, Git

🔹 Nice to Have

• MLOps exposure (prompt versioning, monitoring, A/B testing)
• Experience with semantic caching and context management
• Docker and cloud deployment basics

About Antier Solutions

Antier Solutions is a global blockchain development company delivering innovative decentralized solutions and emerging technology services across industries. As we expand our AI capabilities, we are committed to building intelligent, scalable, and enterprise-grade AI systems that seamlessly integrate with Web3, FinTech, and other enterprise ecosystems.

Role Overview

We are seeking a highly skilled AI Solution Architect to lead the design and deployment of advanced AI-driven systems. The ideal candidate will be responsible for architecting end-to-end AI solutions, integrating large language models (LLMs), designing intelligent automation frameworks, and collaborating with cross-functional teams to deliver scalable AI platforms. This role demands deep technical expertise, strong architectural thinking, and hands-on implementation across AI/ML, cloud, and modern application stacks.

Key Responsibilities

• Design and architect scalable AI/ML solutions aligned with business objectives.
• Lead end-to-end solution design for LLM-based applications and enterprise AI platforms.
• Develop intelligent automation systems leveraging advanced reasoning and multi-step workflow orchestration.
• Architect conversational AI systems, recommendation engines, predictive analytics, and AI-powered decision systems.
• Define AI governance, model lifecycle management, monitoring, and MLOps strategies.
• Collaborate with engineering teams for implementation, deployment, and optimization.
• Design AI microservices architectures using modern backend frameworks.
• Work closely with product, blockchain, and Web3 teams to integrate AI capabilities into decentralized ecosystems.
• Evaluate and select appropriate AI frameworks, tools, and cloud services.
• Provide technical leadership, mentorship, and architectural guidance to cross-functional teams

Required Skills & Expertise

Core AI & ML

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt engineering).
• Experience designing systems capable of autonomous task execution and decision workflows.
• Strong understanding of vector databases, embeddings, and RAG pipelines.

Architecture & Engineering

• Experience designing distributed systems and microservices architecture.
• Strong knowledge of Python, FastAPI/Flask, and relevant AI frameworks (TensorFlow, PyTorch, LangChain, etc.).
• Experience building scalable APIs and AI backend systems.
• Strong understanding of system design, performance tuning, and scalability

Cloud & DevOps

• Experience with AWS/Azure/GCP AI services.
• Experience with containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and MLOps frameworks.
• Experience implementing AI monitoring and observability practices.

Data Engineering

• Experience working with large datasets, ETL pipelines, and real-time processing.
• Familiarity with vector databases and knowledge graphs.

Good to Have

• Experience integrating AI within blockchain/Web3 ecosystems.
• Exposure to intelligent multi-agent or orchestrated AI systems.
• Understanding of AI security, compliance, and ethical AI practices.
• Experience in enterprise AI transformation projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 8+ years of experience in software engineering.
• 4+ years in AI/ML solution design and architecture roles.

What We Offer

• Opportunity to lead AI innovation in a fast-growing tech environment.
• Work on cutting-edge AI + Web3 integrations.
• High ownership, autonomy, and architectural leadership in a collaborative setting.
• Competitive compensation and benefits.

On-site collaboration in Mohali's innovation hub, with flexibility options where applicable

Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)

Location: Pune – Onsite

About Us:

We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!

Role Overview:

We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.

Key Responsibilities:

• Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
• Collaborate with data scientists and engineers to build scalable AI-driven solutions.
• Analyze large volumes of data to extract meaningful insights and improve ad performance.
• Develop and deploy machine learning pipelines for automated decision-making.
• Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
• Optimize existing models for speed, scalability, and accuracy.
• Work closely with product managers to align AI solutions with business goals.

Requirements:

• Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
• Strong programming skills in Python, R, or similar languages.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Expertise in data processing and real-time analytics.
• Strong understanding of digital advertising, programmatic platforms, and ad server technology.
• Excellent problem-solving and analytical skills.
• Immediate joiners preferred.

Preferred Skills:

• Knowledge of big data technologies like Spark, Hadoop, or Kafka.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with MLOps practices and tools.

How to Apply:

If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.

Please apply over linkedin .

Join us in building the future of AI-driven digital advertising!

We are currently seeking a passionate and dynamic HR Recruiter to join our team and help us find the best talent to support our mission.

Job Summary:

The HR Recruiter will be responsible for sourcing, screening, and selecting qualified candidates for various positions within the organization. This role will require a deep understanding of recruitment strategies, excellent communication skills, and the ability to build relationships with hiring managers and candidates alike.

Key Responsibilities:

Collaborate with hiring managers to understand staffing needs and develop effective recruitment strategies.

Create and post job advertisements on various platforms and the company website.

Source candidates using various methods, including social media, job boards, and networking.

Review resumes, conduct initial phone screens, and coordinate interviews with candidates.

Maintain a talent pool of potential candidates for future openings.

Conduct reference checks and background verification as required.

Prepare and extend job offers to selected candidates.

Assist in developing and implementing recruitment processes and policies.

Provide a positive candidate experience throughout the hiring process.

Stay updated on industry trends and recruitment best practices.

Qualifications:

Bachelor’s degree in Human Resources, Business Administration, or a related field.

 years of experience in recruitment or talent acquisition.

Proficiency in applicant tracking systems (ATS) and HR software.

Strong knowledge of employment laws and regulations.

Excellent communication and interpersonal skills.

Ability to work collaboratively in a team environment and manage multiple priorities.

Strong organizational and problem-solving abilities.

• Smooth onboarding of fellows post recruitment
• Understanding the pre-existing technical and other skills as well as improvement needs in each area throughout training and deployment
• Weekly monitoring of progress as well as key strength and improvement area of each fellow
• Planning remediation in consultation with training head and trainers, weekly/ daily check ins and query resolution to sustain high level of motivation
• Monitoring and taking steps towards maintaining high performance standards post deployment
• Implementing upskilling learning and development initiatives based on individual fellow requirement and ensuring consistent appraisal and manager satisfaction
• Continuously monitoring and improving the Fellows’ performance during training and on-site, as well as analyzing client feedback, upskilling needs, retention and billability

Desired Candidate Profile

• Minimum 10+ years’ experience in managing technical talent in either talent management or technical manager roles
• Training experience desirable
• Awareness of job role skill and capability requirement for data engineer or similar technical job role
• Experience in performance management and employment relations
• Strong coaching and mentoring capabilities
• High data-driven and process oriented mindset
• Strong interpersonal and communication skills
• Excellent relationship building skills
• Ability to influence and persuade and manage difficult conversations
• High levels of confidentiality